Large language models can draft code or move artifacts, but without situational awareness they still trip over the basics. Cloudsmith CEO Glenn Weinstein tells Mike Vizard why a new piece of plumbing—the Model Context Protocol (MCP) server—is quickly becoming table stakes. Think of MCP as a receptionist for AI agents: it answers questions like “Which […]
Is Generative AI Replacing Junior Developers?
Generative AI tools aren’t just autocomplete for code—they’re reshaping the very first rung on the engineering career ladder. Host Mike Vizard asks Juan Salinas, VP of business development at Jalasoft, and software engineer Rolando Lora whether entry‑level developer jobs are about to disappear. Salinas is blunt: the routine, low‑risk tickets that once taught newcomers the ropes […]
Coralogix MCP Server Offers Observability View Into AI Agents
Full-stack observability platform company Coralogix has detailed the launch of its new Model Context Protocol Server technology. The product is designed to allow third-party AI agents to connect directly to Coralogix’s observability data services to provide a deeper view into the new fabric of agentic AI connections. Breaking down the observability viewfinder on offer here, […]
Perforce Adds Autonomous AI Agent to Test Mobile Apps
Perforce Software today added an artificial intelligence (AI) agent that autonomously adapts tests it has created as changes are made to mobile computing applications. Don Jackson, technical evangelist for Perforce, said via a natural language interface it’s now possible for DevOps teams to leverage an AI model that Perforce developed to generate tests using a […]
Could Agentic AI in DevOps Create New Security Flaws?
We must design agents with least privilege and hardened prompts, monitor them like production microservices and plan for the strange, emergent failures that only autonomous systems invent.
Fast Code, Real Risks: Guardrails for AI-Generated Software
Yonatan Arbel, developer advocate in the Office of the CTO at JFrog, dives into the potential risks and rewards of relying on artificial intelligence (AI) agents to build and deploy software. Yes, more code is shipping faster than ever, Arbel admits, but volume alone isn’t a win—each hastily synthesized line must still survive build servers, […]
Atlassian Adds CLI Option to AI Agent for Building Software
Atlassian has added a command line interface (CLI) option to provide application developers with a familiar construct for invoking Rovo Dev, its artificial intelligence (AI) agent for building software Part of a portfolio of Rovo Software Agents that Atlassian now makes available in beta, Rovo Dev completes and debugs code, creates tests, surfaces insights and […]
Zencoder Adds AI Agent to Test Code to Portfolio
Zencoder today made available a public beta of an artificial intelligence (AI) agent that extends its platform for writing code into the realm of application testing. Company CEO Andrew Filev said Zentester in addition to making it simple for application developers to test their own code, will augment DevOps teams by making it possible to […]
Cloud ROI is Broken. Agentic AI Might Be the Fix.
Cloud environments are more complex to manage than anticipated, and the associated costs have spiraled far beyond early projections.
Managing Day 2 Concerns for Agentic AI Architecture
We’re now in the fifth wave of computing. If that sounds dramatic, that’s because it is—and probably also because someone in marketing really wants to make “agentic AI” stick. For those keeping track at home, the first four waves were mainframes (your granddad’s computer), web (when we were all hopeful), cloud (when we were still […]
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